{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T08:55:33Z","timestamp":1790844933159,"version":"4.1.0"},"reference-count":20,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Psychiatric Ment Health Nurs"],"abstract":"Accessible Summary<\/jats:title>\n \n \n \n \n Originality\n \n \n This debate essay introduces intensive longitudinal methods (ILMs), including daily diary methods, experience sampling methodology, ecological momentary assessment, and ambulatory assessment to psychiatric\u2010mental health nurses.<\/jats:p>\n <\/jats:list-item>\n \n It contrasts ILMs with conventional cross\u2010sectional and retrospective designs by showing how frequent, repeated measurements in everyday environments can reveal how psychiatric symptoms fluctuate and interact with contextual factors in real time.<\/jats:p>\n <\/jats:list-item>\n <\/jats:list>\n <\/jats:p>\n <\/jats:list-item>\n \n \n Significance\n \n \n ILMs support patient\u2010centred care and recovery\u2010oriented mental health care by generating individual\u2010level data that reflect each person's unique symptom patterns, triggers, and trajectories rather than relying only on population averages.<\/jats:p>\n <\/jats:list-item>\n \n Findings from ILM studies can inform more tailored nursing assessments and interventions\u2014for example, distinguishing whether a patient's mood is more affected by sleep, social contact, or daily stressors\u2014and support shared decision\u2010making between nurses and patients.<\/jats:p>\n <\/jats:list-item>\n \n ILMs can be practically embedded into clinical practice through smartphones, web applications, and wearable devices, with emerging opportunities to combine these methods with artificial intelligence for enhanced monitoring, early risk detection and care planning.<\/jats:p>\n <\/jats:list-item>\n <\/jats:list>\n <\/jats:p>\n <\/jats:list-item>\n \n \n Rigour\n \n \n The essay draws upon foundational textbooks and recent peer\u2010reviewed studies of ILMs to ensure that its methodical overview is based in established and up\u2010to\u2010date evidence.<\/jats:p>\n <\/jats:list-item>\n \n It discusses key methodological considerations, such as participant burden, missing data management, identification of confounders, and the need for measures that are sensitive to within\u2010person change and provides practical guidance for psychiatric\u2010mental health nursing researchers planning to use ILMs.<\/jats:p>\n <\/jats:list-item>\n <\/jats:list>\n <\/jats:p>\n <\/jats:list-item>\n <\/jats:list>\n <\/jats:p>","DOI":"10.1111\/jpm.70210","type":"journal-article","created":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T08:02:43Z","timestamp":1790841763000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["From Population Averages to Individual Realities: A Debate on Using Intensive Longitudinal Methods in Mental Health Nursing Research"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2763-6116","authenticated-orcid":false,"given":"Babak (Alfred)","family":"Saatchi","sequence":"first","affiliation":[{"name":"The Valley Foundation School of Nursing, College of Health and Human Sciences San Jos\u00e9 State University San Jose California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,1]]},"reference":[{"key":"e_1_2_14_2_1","doi-asserted-by":"publisher","DOI":"10.36401\/JQSH\u201024\u2010X2"},{"key":"e_1_2_14_3_1","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1007\/978-3-319-59123-0_10","volume-title":"Global Mental Health: Prevention and Promotion","author":"Amering M.","year":"2017"},{"key":"e_1_2_14_4_1","first-page":"108","volume-title":"Handbook of Research Methods for Studying Daily Life","author":"Barta W. 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Z.Su andD.Westreich.2018.\u201cManaging Missing Data in Patient Registries: Addendum to Registries for Evaluating Patient Outcomes: A User's Guide.\u201d","DOI":"10.23970\/AHRQREGISTRIESMISSINGDATA"},{"key":"e_1_2_14_15_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12888\u2010025\u201006473\u20104"},{"key":"e_1_2_14_16_1","doi-asserted-by":"publisher","DOI":"10.1002\/wps.20513"},{"key":"e_1_2_14_17_1","doi-asserted-by":"crossref","DOI":"10.4135\/9781446287996","volume-title":"Multilevel Modeling for Social and Personality Psychology","author":"Nezlek J. 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